Formal Accounting

In accounting, the formal language component refers to the specific language and rules used to communicate financial information. This includes standardized accounting principles, concepts, and terminology, as well as financial reporting formats such as balance sheets, income statements, and cash flow statements.

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This Python package displays the application of formal accounting.The purpose of the formal language component is to provide a standardized and consistent method for measuring and reporting Read the Docs Tutorial.

Project usage

This project has a standard Sphinx layout which is built by Read the Docs almost the same way that you would build it locally (on your own laptop!).

You can build and view this documentation project locally - we recommend that you activate a local Python virtual environment first:

# Install required Python dependencies
pip install scipy
pip install numpy
pip install pandas

# Run the install command
pip install cpanlp

Using the example in your own project

If you are new to Read the Docs, you may want to refer to the Read the Docs User documentation.

If you are copying this code in order to get started with your documentation, you need to:

  1. place your docs/ folder alongside your Python project. If you are starting a new project, you can adapt the pyproject.toml example configuration.

  2. use your existing project repository or create a new repository on Github, GitLab, Bitbucket or another host supported by Read the Docs

  3. copy .readthedocs.yaml and the docs/ folder into your project.

  4. customize all the files, replacing example contents.

  5. add your own Python project, replacing the pyproject.toml configuration and lumache.py module.

  6. rebuild the documenation locally to see that it works.

  7. finally, register your project on Read the Docs, see Importing Your Documentation.

Welcome to cpanlp’s documentation!

cpanlp (/ka’pan/) is a Python library for business that Communicate in Business with python. It pulls data from the Open Food Facts database and offers a simple and intuitive API.

Check out the Usage section for further information, including how to Installation the project.

Note

This project is under active development.

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